5 days ago
ā¢ We're seeking a seasoned Backend Data-Heavy Engineer with a strong .NET stack foundation and a deep passion for data. ā¢ You'll be instrumental in designing, developing, and optimizing backend systems that efficiently handle massive volumes of data. ā¢ Your expertise in SQL Server, database design, and query optimization will be crucial for structuring and managing our extensive database. ā¢ Understanding business objectives and translating them into data-driven solutions will be key to your success in this role.
ā¢ Backend Development: Design, develop, and maintain robust, scalable, and high-performance backend systems using primarily .NET technologies. ā¢ Data Management: Work with massive datasets, implementing efficient data storage, retrieval, and processing mechanisms. ā¢ Database Design and Optimization: Structure and optimize our extensive SQL Server database for optimal performance and scalability. Design efficient data models, indexes, and query execution plans to handle large data structures effectively. ā¢ Performance Optimization: Continuously monitor and optimize backend systems and database queries for speed, efficiency, and scalability, ensuring seamless data handling under heavy loads. ā¢ Collaboration: Work closely with frontend developers, data scientists, and product teams to understand requirements and deliver integrated solutions. ā¢ Problem-Solving: Analyze and resolve complex technical issues related to data management, backend systems, and performance bottlenecks at both the application and database levels. ā¢ Technology Exploration: Stay updated with the latest data-related technologies and evaluate their potential for improving our systems. ā¢ Business Alignment: Actively engage with business stakeholders to understand objectives and translate them into technical solutions that leverage data insights.
ā¢ .NET Expertise: Proven experience in backend development using .NET technologies, including C#, ASP.NET Core, and Entity Framework. ā¢ SQL Server Mastery: Deep understanding of SQL Server, including database design, T-SQL, stored procedures, indexing, and query optimization techniques. ā¢ Data Handling: Strong understanding of data structures, algorithms, and database design principles, including experience with SQL and NoSQL databases. ā¢ Python Proficiency (Bonus): Familiarity with Python for scripting, data processing, or machine learning tasks is a significant advantage. ā¢ Elasticsearch or Similar (Bonus): Experience with Elasticsearch or other distributed search and analytics engines is a plus. ā¢ Problem-Solving: Excellent analytical and problem-solving skills, with the ability to identify and resolve technical challenges effectively at both the application and database levels. ā¢ Communication: Strong communication skills, both written and verbal, for collaborating with cross-functional teams and explaining technical concepts. ā¢ Business Acumen: Ability to understand business objectives and translate them into technical requirements and solutions. ā¢ Passion for Data: A genuine interest in working with data, uncovering insights, and contributing to data-driven decision-making.
Apply Now5 days ago
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